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Quantitative Finance · Glossaire

Qu'est-ce que « Instrumented principal component analysis » ?

Definition 9.3 Machine Learning for Markets · Chapitre 9 — Cross-Sectional Deep Models

Instrumented principal component analysis (IPCA) models ri,t+1=zit⊤Γft+1+ei,t+1r_{i,t+1} = z_{it}^\top\Gamma f_{t+1} + e_{i,t+1} with KK latent factors ff and betas z⊤Γz^\top\Gamma linear in the characteristics (a constant included); Γ\Gamma (L×KL\times K) and the factors are estimated by alternating least squares, the factors month by month as cross-sectional regressions of returns on ZtΓZ_t\Gamma (Kelly, Pruitt and Su, 2019).

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